The Deep Network Designer (see figure) provides a way to use pretrained models including SqueezeNet, Inception-v3, ResNet-101, GoogLeNet, and VGG-19, as well as developing new models.

NVIDIA has launched its new Nsight Deep Learning Designer 2021.1 SDK specifically created for efficient deep learning model design and development.

Researchers propose a deep neural network-based forward design space exploration using active transfer learning and data augmentation ...

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Training deep learning networks with photo-realistic virtual data created using game development engines has the potential to streamline the learning process and make deep learning solutions ...

Deep learning, aka deep networks, can be useful—but it has limitations.

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.